An AI based framework proposal for real time robot design using framsticks

Abstract

Real time modeling of Robot is increasing day by day especially in automated industries. In this paper we propose a framework to design real time robots for industries using AI techniques like Co-Evolution, Virtual Ecology, Life time learning. Beyond that monitoring complex and non complex behaviors in different environments and obtaining the parameters that influence hardware design. Here we have created a virtual khepera robot and simulated in Framsticks and designed hardware components based on the outcome of simulation parameters. Even control programs were also generated using the same data. © 2011 Springer-Verlag.